Machine Learning/AI: Hard Facts, Conclusions and Actions

We are in the early stages of a 10-year cycle which machine learning is morphing from a lab curiosity to a rich, pervasive technology value-add. Grandiose visions and deep-seated cynicism are fighting each other in the marketplace. We break down fact versus fiction and various alternative paths to success.

In this webinar, you will learn:

• How safe it is to dive into the deep end – what’s real and what isn’t• Which platforms and applications to invest in first• Where innovation in open source and with citizen data scientist enablement is having an impact